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Books > Computers & Technology > Computer Science > Systems Analysis & Design > 1617290238
  1. Hadoop in Practice: Includes 85 Techniques
    Hadoop in Practice: Includes 85 Techniques
    Hadoop in Practice: Includes 85 Techniques
    Hadoop in Practice: Includes 85 Techniques
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  2. Hadoop in Practice: Includes 85 Techniques

    [1617290238]
    Delivery: 10-20 Working Days
    Customer Ratings (17 reviews)
    Price R1018.00

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Additional Information

Summary

Hadoop in Practice collects 85 Hadoop examples and presents them in a problem/solution format. Each technique addresses a specific task you'll face, like querying big data using Pig or writing a log file loader. You'll explore each problem step by step, learning both how to build and deploy that specific solution along with the thinking that went into its design. As you work through the tasks, you'll find yourself growing more comfortable with Hadoop and at home in the world of big data.

About the Technology

Hadoop is an open source MapReduce platform designed to query and analyze data distributed across large clusters. Especially effective for big data systems, Hadoop powers mission-critical software at Apple, eBay, LinkedIn, Yahoo, and Facebook. It offers developers handy ways to store, manage, and analyze data.

About the Book

Hadoop in Practice collects 85 battle-tested examples and presents them in a problem/solution format. It balances conceptual foundations with practical recipes for key problem areas like data ingress and egress, serialization, and LZO compression. You'll explore each technique step by step, learning how to build a specific solution along with the thinking that went into it. As a bonus, the book's examples create a well-structured and understandable codebase you can tweak to meet your own needs.

This book assumes the reader knows the basics of Hadoop.

Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

What's Inside
  • Conceptual overview of Hadoop and MapReduce
  • 85 practical, tested techniques
  • Real problems, real solutions
  • How to integrate MapReduce and R

Table of Contents

    PART 1 BACKGROUND AND FUNDAMENTALS
  1. Hadoop in a heartbeat
  2. PART 2 DATA LOGISTICS
  3. Moving data in and out of Hadoop
  4. Data serialization?working with text and beyond
  5. PART 3 BIG DATA PATTERNS
  6. Applying MapReduce patterns to big data
  7. Streamlining HDFS for big data
  8. Diagnosing and tuning performance problems
  9. PART 4 DATA SCIENCE
  10. Utilizing data structures and algorithms
  11. Integrating R and Hadoop for statistics and more
  12. Predictive analytics with Mahout
  13. PART 5 TAMING THE ELEPHANT
  14. Hacking with Hive
  15. Programming pipelines with Pig
  16. Crunch and other technologies
  17. Testing and debugging

Similar Products

Hadoop: The Definitive Guide: Storage and Analysis at Internet ScaleHadoop: The Definitive GuideBig Data For DummiesLearning Spark: Lightning-Fast Big Data AnalysisProgramming Hive: Data Warehouse and Query Language for HadoopHadoop in ActionProgramming PigHBase: The Definitive Guide: Random Access to Your Planet-Size DataMapReduce Design Patterns: Building Effective Algorithms and Analytics for Hadoop and Other SystemsMahout in Action
Specifications

Country
USA
Author
Alex Holmes
Binding
Paperback
Brand
Brand: Manning Publications
EAN
9781617290237
Edition
1
Feature
Used Book in Good Condition
ISBN
1617290238
Label
Manning Publications
Manufacturer
Manning Publications
NumberOfItems
1
NumberOfPages
536
PublicationDate
2012-10-13
Publisher
Manning Publications
Studio
Manning Publications
ReleaseDate
0000-00-00
Most Helpful Customer Reviews

This book is way too old, it's only really good for giving you ideas of what to try. The versions of all the software that this book is based on are often times impossible to obtain now, many of the hadoop sites are in the habit of removing old versions of their projects so you can't download them. For example, the book is primarily based on using hadoop 0.20 and/or cloudera's hadoop version three. It's no longer possible to download those, if you have an old version then hold on to it in case you need it.

None of the installation instructions in the book will work with the newer versions of applications. In some cases the entire idea of how you would run and use a tool has changed. Also, the entire way that HDFS and Map-reduce works has changed since YARN was added, so the books explanation of that is old.

The book often omits important details like which jar you need to use for a particular piece of code. Classpath and dependency issues are always a... Read more
I'm a beginner and have no experience with any hadoop development before. Before I started to read this book, I had read some articles on the internet. Also read "the hadoop in action". This book really has everything I want to know and have very detailed explanation about the concepts. Every parts in the book are well organized and well written. The author's writing skill is really very amazing, he explains the very complicated concepts in a very plain and easy to understand way. No hypos. The examples in the book are also very practical and very useful and touched many different areas of where hadoop could be used. Not like the online tutorials only play with word count game. The examples in this book are real and practical!
Probably the first book I have encountered to have specific example of running Hadoop, The beginning is a good lesson about how the book is laid out, then it goes into detail's about getting Hadoop started. I appreciate the author trying to have a go at it, but to update the audience because Hadoop is stilling morphing, there are many caveats about how it is installed via which version of Hadoop, the book had good detail's about Cloudera's version but please do not use this book to have a prescriptive way of installing hadoop as it has changed. The example are good enough to get you started and the detail about what the code means is why the third star. I just think that because Hadoop is still going through metamorphosis stages, all books are just antidotal, many changes have happened during the writing of this book. What is promising it has a version for YARN.
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